SPLK-1002 Advanced Visualization and Lookups Practice Question
During peak hours, a search that uses a KV Store lookup frequently times out. The search runs on daily data but the KV Store collection has millions of records. Which approach is most effective to reduce lookup time while maintaining data freshness?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Pre-compute the lookup results using a scheduled search and write to a CSV, then use the CSV lookup
Pre-computing lookup results into a smaller CSV that is refreshed frequently can improve performance while keeping data up-to-date.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the KV Store collection's replication factor
Why it's wrong here
Replication factor affects durability, not query performance.
- ✓
Pre-compute the lookup results using a scheduled search and write to a CSV, then use the CSV lookup
Why this is correct
This reduces the dataset size and improves lookup speed.
- ✗
Reduce the fields stored in the KV Store collection
Why it's wrong here
Reducing fields helps but may not be sufficient for timeouts.
- ✗
Use the 'lookup' command with the 'local=t' option
Why it's wrong here
local=t limits to local indexer, not applicable to KV Store.
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Written by Johnson Ajibi, MSc IT Security
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This SPLK-1002 practice question is part of Courseiva's free Splunk certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SPLK-1002 exam.